Fin Maverick
Foundations VocabularyAccounting & ReportingEconomics & MacroQuant Methods & ProgrammingBusiness & Company AnalysisCorporate Finance & ValuationBehavioural Finance
Banking & Market InfrastructureFixed Income & RatesDerivatives & Structured ProductsPublic EquitiesTransactions & DealsPortfolio ConstructionFunds & AMCs
Private Markets & AlternativesRisk, Treasury & ControlAI & Digital FinanceStochastic Calculus & PricingWealth & Personal FinanceIndian Markets & RegulationProfessional Practice
Explore NISM prep
Series-VIII · Equity DerivativesSeries-XII · Securities Markets FoundationSeries-V-A · Mutual Fund DistributorsSeries-XV · Research AnalystSeries-XIX-E · Category III AIF ManagersSeries-XIX-D · Category I & II AIF ManagersSeries-XIX-C · Alternative Investment Fund ManagersSeries-XVI · Commodity DerivativesSeries-VI · Depository OperationsSeries-II-A · Registrars & Transfer AgentsSeries-I · Currency DerivativesSeries-VII · Securities Operations & Risk Management
Explore Bootcamps
Equity ResearchPortfolio ManagementMutual Fund MasteryInvestment Banking Analyst
Private Equity AnalystQuant & Hedge Fund AnalystBreaking Into VCFinancial Analyst Program
Risk Management ProgramPrivate Wealth ManagementDebt Capital MarketsDerivatives Foundation
Explore Free Courses

Equity Research6

Writing an Investment ThesisBuilding a Discounted Cash FlowReading an Annual Report FastReading a Sector Before a CompanySpotting Quality of Earnings Red FlagsBuilding a Revenue Forecast From Drivers

Portfolio Management3

Rebalancing: When, Why and What It CostsStrategic and Tactical Asset AllocationMeasuring Risk in a Portfolio

Mutual Fund Mastery3

Comparing Funds Without Being FooledHow a NAV Is Struck and Which Day You GetReading a Fund Factsheet Properly

Derivatives Unlocked4

Hedging a Real ExposureThe Greeks, PracticallyFutures, the Basis and What Moves ItReading an Option Payoff

AI For Finance2

Retrieval and Grounding for FinanceDocument Extraction in Finance

Breaking Into Quants4

Backtesting a StrategyHypothesis TestingCleaning Financial DataRegression for Finance

Breaking Into VC3

Sizing a MarketReading a Term Sheet as a FounderHow a Venture Round Actually Works

Financial Analyst Program4

Common Size and Trend AnalysisReading a Cash Flow StatementRatio Analysis That Says SomethingBuilding a Working Capital Schedule

Risk Management Program2

Credit Exposure and How It Is ReducedValue at Risk and What It Hides

Investment Banking Analyst3

Precedent Transactions and Why They DifferReading a Term Sheet StructurallyBuilding a Comparable Companies Table

Private Wealth Management3

Tax Aware Portfolio DecisionsBuilding a Client Risk ProfileGoal Based Planning Arithmetic

Debt Capital Markets3

Analysing an Issuer's CreditDuration and What It Does Not Tell YouBond Pricing and Yield Mechanics

Private Equity Analyst2

Fund Waterfalls and CarryThe LBO in Structure

Hedge Funds Analyst2

Short Selling MechanicsLong Short Mechanics
QuarksCourses
Explore Interview Preparation
Investment BankingEquity ResearchVenture CapitalistPrivate EquityHedge Funds
QuantFinancial AnalysisPrivate Wealth ManagementDebt Capital MarketsRisk Management
Derivatives FoundationPortfolio ManagementMutual Fund Mastery
PartnershipsShowdown
Log inSign up
Interview tracksAll
1Investment Banking
Question bankPuzzlesCase studies
2Equity Research
Question bankPuzzlesCase studies
3Venture Capital
Question bankPuzzlesCase studies
4Private Equity
Question bankPuzzlesCase studies
5Hedge Funds
Question bankPuzzlesCase studies
6Quant
Question bankPuzzlesCase studies
7Financial Analysis
Question bankPuzzlesCase studies
8Private Wealth Management
Question bankPuzzlesCase studies
9Debt Capital Markets
Question bankPuzzlesCase studies
10Risk Management
Question bankPuzzlesCase studies
11Derivatives Foundation
Question bankPuzzlesCase studies
12Portfolio Management
Question bankPuzzlesCase studies
13Mutual Fund Mastery
Question bankPuzzlesCase studies
051

Case 051Sector valuationWarm up

Size a hospital's revenue and EBITDA from its beds, then value a new wing at maturity against what it costs to build.

CSCredit SuisseMumbai · 2020

1The situation

Anvika Hospitals runs a 400-bed multi-speciality hospital at 70% occupancy. Its average revenue per occupied bed is Rs 50,000 a day and its EBITDA margin is 22%.

It plans a new 200-bed wing costing Rs 400 crore. The wing is expected to reach 65% occupancy by year 3 at the same revenue per bed, with an 18% EBITDA margin at maturity because the new wing carries its own staff and the group's overhead does not fall. Listed hospital chains trade at about 18x EBITDA.

2Your task

What are Anvika's current revenue and EBITDA, what is the wing's mature EBITDA, and what is the wing worth at 18x against its Rs 400 crore cost?

Quick check

What is the revenue of the existing 400-bed hospital?

Worked solution

Try it on paper, then open one step at a time.

30-second answerThe answer to give first

Anvika earns Rs 511 crore of revenue and Rs 112.4 crore of EBITDA; the wing earns Rs 237 crore of revenue and Rs 42.7 crore of EBITDA at maturity, worth Rs 769 crore at 18x against Rs 400 crore of cost. On paper the wing creates about Rs 369 crore of value, but only if it fills: it is worth its cost at 34% occupancy, and the three-year ramp plus Rs 36 crore a year of interest on the build cost is where the risk sits.

Step 1How does a bed become revenue?

A hotel with 100 rooms does not earn on 100 rooms; it earns on the rooms with a guest in them, at the rate each guest pays. Hospital revenue is beds times occupancy times revenue per occupied bed per day times days, so Anvika's 400 beds at 70% are 280 occupied beds, which at Rs 50,000 a day for 365 days earn Rs 511 crore. At a 22% margin that is Rs 112.4 crore of EBITDA. The average revenue per occupied bedTotal hospital revenue divided by occupied bed days; the hospital equivalent of a hotel room rate, driven by case mix, speciality and pricing. is the number healthcare bankers watch, because it carries the case mix: a cardiac bed earns several times a general ward bed.

DriverExisting hospitalNew wing at year 3
Beds400200
Occupancy70%65%
Occupied beds280130
Revenue per occupied bed, Rs a day50,00050,000
Revenue, Rs crore511237.2
EBITDA margin22%18%
EBITDA, Rs crore112.442.7
Value at 18x, Rs crore769
Cost to build, Rs crore400
The existing hospital earns Rs 112.4 crore of EBITDA on 280 occupied beds, and the new wing earns Rs 42.7 crore on 130 occupied beds at maturity, worth Rs 769 crore at 18x against Rs 400 crore to build.
Step 2What is the wing worth, and what does the comparison with its cost assume?

Run the same four drivers. 200 beds at 65% is 130 occupied beds, Rs 237 crore of revenue, and at an 18% margin Rs 42.7 crore of EBITDA, worth Rs 769 crore at 18x: Rs 3.84 crore a bed against Rs 2 crore a bed to build. That gap, about Rs 369 crore, is the case for building. But it rests on three things the hospital does not fully control: that the wing reaches 65%, that it does so by year 3, and that an 18x multiple still applies to a chain with more leverage. Work the first one backwards: the wing is worth exactly its cost when EBITDA is Rs 22.2 crore, which needs occupancy of about 34%. Below that, Anvika has spent Rs 400 crore to create less than Rs 400 crore of value.

From beds to value: the same four drivers for the existing hospital and the new wingExisting hospital400 bedsx 70% occupancy280 occupied bedsx Rs 50,000 a day x 365Revenue Rs 511 crorex 22% marginEBITDA Rs 112.4 croreNew 200-bed wing, year 3200 bedsx 65% occupancy130 occupied bedsx Rs 50,000 a day x 365Revenue Rs 237 crorex 18% marginEBITDA Rs 42.7 crorex 18 = valueValue Rs 769 crore against cost Rs 400 croreRs 3.84 crore a bed against Rs 2 crore a bed to buildBreak-even occupancy for the wing to be worth its cost: 34%Occupancy is the one driver the hospital does not control
The same four drivers, beds, occupancy, revenue per occupied bed and margin, take the existing hospital to Rs 112.4 crore of EBITDA and the new wing to Rs 42.7 crore, worth Rs 769 crore at 18x against a Rs 400 crore cost, with 34% occupancy the point where the wing is worth what it cost.
Step 3Where is the risk, and how would you present it?

Ramp is the risk, and interest makes it bite. In year 1 the wing might run at 35% occupancy, Rs 128 crore of revenue, while carrying a full staff and Rs 36 crore a year of interest if the Rs 400 crore is borrowed at 9%, so the wing loses money for two years before it earns the Rs 42.7 crore the valuation assumes. The group's EBITDA of Rs 112.4 crore can absorb that, which is why a 400-bed hospital can build a 200-bed wing and a 100-bed one cannot. Present it as: current numbers, the wing at maturity, the value against cost, then the two sensitivities that matter, occupancy at maturity and the year it is reached. The limit: the 18x multiple is for a listed chain with a track record; a single hospital adding a wing does not get that multiple on the wing alone, and the honest number for the wing is the multiple a buyer would pay for Anvika as a whole with the wing full.

Where candidates lose it

The common loss is multiplying all 400 beds by the daily rate, skipping occupancy, and reporting Rs 730 crore of revenue. Only occupied beds earn, and the interviewer asked for occupancy for a reason.

The second is calling the wing a Rs 369 crore value creator without saying what it assumes. The gap between value and cost exists only at 65% occupancy; at 34% it is zero, and the ramp years lose money while interest runs.

What the interviewer asks next

  • If the new wing is cardiac and earns Rs 80,000 a day per occupied bed, what does that do to the value and to the break-even occupancy?
  • Why might the group's margin fall below 22% in the two years after the wing opens?
  • How would you value Anvika as a whole on a per-bed basis, and what is the problem with that method?

Asked at Credit Suisse, Investment Banking, Mumbai, 2020 (Wall Street Oasis): discussed one of my prior hospital deals in detail, and also asked a few questions around key metrices

← Case 050A fastener maker's top customer is 45% of revenue on a contract ending in 18 months. Value the business in each scenario and probability-weighted, and say what the seller should do before launching a sale.Case 052 →An infrastructure company's cost of debt rises with leverage. Compute its WACC at four debt levels and find where it is lowest.

Company names and figures are illustrative.

Fin Maverick

Finance education that ends in a job, not a certificate that gathers dust. Built for young India.

LEARN
CalculatorsFrameworksComparisonsInterview RoadmapsShowdown
RESOURCES
All CoursesFree CoursesBootcampsInternships
COMPANY
AboutJob openingPartnership
LEGAL
Privacy PolicyTerms & ConditionsContent LicenseReturn & Refund Policy
© 2026 FIN MAVERICK / BUILT FOR INDIA.DO FINANCE, DO NOT JUST READ ABOUT IT.